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Team tables split by side of the ball, and the Side control hides the half you are not reading. What a team allowed is what its opponents gained, so the allowed tables are the offensive ones read from the other end. The roster is everyone who recorded a stat line, because the source holds no roster of its own — a player who never got on the field is absent. A dash means no number for that cell, or a zero in a roster column that counts.

UVA

J'Mari Taylor

J'Mari Taylor comes in 38th of 918 ncaaf rbs in longest catch, at 60.

94th beats 94% of the NCAAF RBs; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.

all 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played11
RushingOffensevs NCAAF RBs▶
Carries6.651st496/1003
Rushing Yards29.249th515/1003
Yards per Carry4.429th367/514
Rushing Touchdowns134th555/1003
Longest Run2335th639/1003
ReceivingOffensevs NCAAF RBs▶
Receptions1.578th198/918
Receiving Yards20.894th55/918
Yards per Catch14.3—
Receiving Touchdowns499th9/918
Longest Catch6096th38/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles136th490/1013
Fumbles Lost068th1/1013
Special Teamsvs NCAAF RBs▶
Kick Returns668th116/370
Kick Return Yards7.556th163/370
Kick Return Touchdowns047th20/370
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
NCCUNov 25, 2023@RICHRICH418015———0
NCCUNov 18, 2023DSUDSU43401423710
NCCUNov 11, 2023@HOWHOW23021600
NCCUNov 4, 2023NORFNORF1052023———0
NCCUOct 26, 2023SCSTSCST1373016410020
NCCUOct 19, 2023@MORGMORG5803———0
NCCUSep 30, 2023CAMCAM71901245701
NCCUSep 23, 2023MVSUMVSU736110———0
NCCUSep 16, 2023@UCLAUCLA#24112308———0
NCCUSep 9, 2023@NCATNCAT523083900
NCCUSep 2, 2023—53201622010
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025UVA132221,0624.81478432531
2024NCCU111961,1465.81566292572
2023NCCU11733214.4123162294
2022NCCU11813774.764591293

About College Football Research

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Every number the site holds for a college football team and the players who played for it, in one place. Pick a team, a season and a set of games, and read it. Nothing here needs an account.

Where the numbers come from

The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.